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在Caffe-Import错误中加载自定义Python层

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我用Python编写了自己的Caffe图层(maskextractor.py) . 从头开始训练网络时,它运作良好 . 但是,一旦我尝试从保存的网络中进行微调:

../caffe/build/tools/caffe train -solver solverFCN8s_MCN_newmodule.prototxt -snapshot snapshot/train8MCNs_borders_pascal_maskextractor_iter_1.solverstate

我得到的错误是导入新图层失败:

I1127 09:38:40.254966  3102 layer_factory.hpp:77] Creating layer maskextractor
ImportError: No module named mask_extractor
terminate called after throwing an instance of 'boost::python::error_already_set'
*** Aborted at 1511775520 (unix time) try "date -d @1511775520" if you are using GNU date ***

很显然,Caffe可以通过 sys.path.insert 将它添加到Pythonpath中,然后复制到 caffe/python/caffe/ 重新编译的pycaffe,但它也没有帮助 .

编辑:这只有在我微调时才会发生 . 如果我从求解器开始:

import numpy as np
from PIL import Image
import os, sys
caffe_dir = "/home/ICTDOMAIN/453615/Downloads/caffe/python"
sys.path.insert(0,caffe_dir)
import caffe
newmodule_dir = "../lib/mask_extractor"
sys.path.insert(0, newmodule_dir)
import mask_extractor
#
caffe.set_mode_gpu()
caffe.set_device(0)

# continue from the saved weights
weights = 'snapshot/train8MCNs_borders_pascal_adadelta_maskextractor_new_iter_1.caffemodel'
solver=caffe.get_solver('solverFCN8s_MCN_adadelta_maskextractor_new.prototxt')
solver.net.copy_from(weights)

solver.solve()

一切正常 . 但我想继续他的快照培训 . 在这种情况下,我得到上面的错误 . PythonPath看起来像

print sys.path

 ['/home/ICTDOMAIN/453615/Downloads/caffe/python', '../lib/mask_extractor', '/home/ICTDOMAIN/453615/Downloads/caffe/python', '/home/ICTDOMAIN/453615/Downloads/fcn.berkeleyvision.org/voc-fcn8s', '/usr/lib/python2.7', '/usr/lib/python2.7/plat-x86_64-linux-gnu', '/usr/lib/python2.7/lib-tk', '/usr/lib/python2.7/lib-old', '/usr/lib/python2.7/lib-dynload', '/usr/local/lib/python2.7/dist-packages', '/usr/local/lib/python2.7/dist-packages/mxnet-0.9.5-py2.7.egg', '/usr/local/lib/python2.7/dist-packages/fast_rcnn-0.0.0-py2.7-linux-x86_64.egg', '/usr/lib/python2.7/dist-packages', '/usr/lib/python2.7/dist-packages/PILcompat', '/usr/lib/python2.7/dist-packages/gtk-2.0', '/usr/lib/python2.7/dist-packages/ubuntu-sso-client']

编辑2:这是sys.path和导入的样子

from subprocess import call
import numpy as np
from PIL import Image
import os, sys
#caffe_dir = "/home/ICTDOMAIN/453615/Downloads/caffe-crfrnn/python"
#caffe_dir = "/home/ICTDOMAIN/453615/Downloads/caffe/python"
#sys.path.insert(0,caffe_dir)
#import caffe
newmodule_dir = "/home/ICTDOMAIN/453615/Downloads/fcn.berkeleyvision.org/lib/mask_extractor"
sys.path.insert(0, newmodule_dir)
import mask_extractor
#import caffe
#
caffe.set_mode_gpu()
caffe.set_device(0)
print sys.path
# continue from the saved weights

call('/home/ICTDOMAIN/453615/Downloads/fcn.berkeleyvision.org/voc-fcn8s/run_ft.sh', shell=True)'

和sys.path现在

'/home/ICTDOMAIN/453615/Downloads/caffe/python', '/home/ICTDOMAIN/453615/Downloads/fcn.berkeleyvision.org/lib/mask_extractor'

然而,完全相同的问题仍然存在 . 正如我之前提到的,当我从 tools 目录中调用caffe时,这只会出现 . 当我使用求解器创建caffe网而不是solverstate时,没有报告任何问题 .

1 回答

  • 2

    步骤1:确保您可以从Python导入图层

    要测试你的python代码,你应该能够打开 python 并输入 from module_name import layer_name ,其中 module_namelayer_name 是你在原型文本定义中使用的 .

    如上所示,您通过了此步骤 .

    步骤2:确保您的PYTHONPATH有效

    如果您的PYTHONPATH有效,您应该可以转到caffe excutable的目录,然后导入您的模块 . 执行此步骤的结果是什么?

    PYTHONPATH 中的路径都应该是绝对的 .

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